Abstract

Allopurinol is used for the treatment of gout and related conditions; it is associated with various adverse drug reactions (ADRs) such as Stevens– Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). A 50-year-old female was presented to the emergency ward with chief complaints of reddish pinpoint lesions over the back, chest, abdomen, and lower limb-upper limb for the past 6 days. She was diagnosed with SJS. On medication interview, it was revealed that she was on allopurinol therapy, which she took 5 days back as a self-medication. The World Health Organization - Uppsala Monitoring Centre (WHO) scale was used to access the causality assessment, ADR was found to be probable. The drug was withdrawn from the therapeutic regimen of the patient. The patient was discharged after 25 days from the hospital. Allopurinol has the strongest association with SJS with TEN. There should be a screening of HLA-B 5801 antigens before commencing the allopurinol therapy to the patients.

The publication is licensed under CC By and is open access. Copyright is with author and allowed to retain publishing rights without restrictions.

Online ISSN: 2455-3891Print ISSN: 0974-2441

Journal Metrics

Source Normalized Impact per Paper (SNIP): 0.492

Source Normalized Impact per Paper (SNIP):2017: 0.492SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

Impact per Publication (IPP): 0.588

Impact per Publication (IPP):2016: 0.588The Impact per Publication measures the average number of citations received in a particular year by papers published in the journal during the three preceding years.

SCImago Journal Rank (SJR): 0.22

SCImago Journal Rank (SJR):2017: 0.22SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Cite Score: 0.49

Cite Score:2017: 0.49CiteScore metrics are a new standard to measure serial citation impact.